Image segmentation is the division of a digital image into multiple subgroups of pixels known as Image Objects. This procedure can minimize the complexity of the image, making image analysis easier. Image Segmentation is one of the most crucial areas in computer vision and one of the oldest research questions. There are many useful applications of image processing such as image sharpening, blurring, grayscale conversion, and edges detection that can be utilized in different domains. Digital image processing employing neural networks has gained popularity recently because of the expansion of artificial intelligence algorithms and its ecosystem. It can be used in a wide range of industries, including security, banks, the military, agriculture, law enforcement, manufacturing, and medicine.
Mohamed, A., Mahmoud, M., & Hemeida, A. (2022). Image segmentation-based optimization algorithms: A Review. Aswan University Journal of Sciences and Technology, 2(1), 53-72. doi: 10.21608/aujst.2022.261731
MLA
Amal Yassen Mohamed; Mountasser Mahmoud; Ashraf Mohamed Hemeida. "Image segmentation-based optimization algorithms: A Review". Aswan University Journal of Sciences and Technology, 2, 1, 2022, 53-72. doi: 10.21608/aujst.2022.261731
HARVARD
Mohamed, A., Mahmoud, M., Hemeida, A. (2022). 'Image segmentation-based optimization algorithms: A Review', Aswan University Journal of Sciences and Technology, 2(1), pp. 53-72. doi: 10.21608/aujst.2022.261731
VANCOUVER
Mohamed, A., Mahmoud, M., Hemeida, A. Image segmentation-based optimization algorithms: A Review. Aswan University Journal of Sciences and Technology, 2022; 2(1): 53-72. doi: 10.21608/aujst.2022.261731
)
View on SCiNiTO